Prediction of Protein Dispensability through Integrated Analysis of Multiple-Source High-Throughput Data

Protein dispensability is fundamental to understanding of gene function and evolution. It is usually studied at the individual gene phenotype level. Recent advances in generating high-throughput data such as genomic sequence data, protein-protein interaction data, gene-expression data, and growth-rate data of mutants allow us to investigate protein dispensability systematically at the genome scale. In our studies, protein dispensability was represented as a fitness score that was measured by the growth rate of gene-deletion mutants. Through analyses of high-throughput data in yeast Saccharomyces cerevisia, we found that a protein's dispensability had significant correlations with its evolutionary rate and duplication rate, as well as its connectivity in protein-protein interaction network and gene-expression correlation network. Correspondence analysis also showed such significant dependencies, which imply that the integration of high-throughput data can provide substantial infor...

• Type: Conference
• Year: 2004
• Where: SNPD
• Authors: Yu Chen, Dong Xu
• Keywords: Protein Dispensability, Protein-protein Interaction, Protein-protein Interaction Data, SNPD 2004, SNPD 2007